Tests Conditional on Imbalance with Biased Coin Designs.

Abstract

Distributional properties of the treatment assignment variables T sub 1, ..., T sub n under Efron's (1971) biased coin design are derived. These properties are conditional on the terminal imbalance of the treatment allocation. Recursive procedures are presented for obtaining the conditional moments of T sub 1, ..., T sub n. Based on these results, large-sample test statistics are proposed for the randomization test of the null hypothesis of no treatment difference. In contrast to Efron's test statistic, the approximations herein proposed are applicable when there is a treatment allocation imbalance. Keywords: markov chains; chemical tests; conditional means and covariances; computerized simulation.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1986
Accession Number
ADA174777

Entities

People

  • Edsel Pena
  • Myles Hollander

Organizations

  • Florida State University

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Air Force
  • Asymptotic Normality
  • Classification
  • Clinical Trials
  • Computer Simulations
  • Computers
  • Covariance
  • Data Science
  • Information Science
  • Markov Chains
  • Normal Distribution
  • Numbers
  • Probability
  • Random Variables
  • Security
  • Simulations
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.
  • Regression Analysis.